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Introduction to Machine Learning with Python: A Guide for Data Scientists

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Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.

You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.

With this book, you’ll learn:

  • Fundamental concepts and applications of machine learning
  • Advantages and shortcomings of widely used machine learning algorithms
  • How to represent data processed by machine learning, including which data aspects to focus on
  • Advanced methods for model evaluation and parameter tuning
  • The concept of pipelines for chaining models and encapsulating your workflow
  • Methods for working with text data, including text-specific processing techniques
  • Suggestions for improving your machine learning and data science skills
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Handbook of Industrial Mixing: Science and Practice
Handbook of Industrial Mixing: Science and Practice
Mixing as a discipline has evolved from foundations that were laid in the 1950s, culminating in the publication of works by Uhl and Gray (1966) and Nagata (1975). Over the last 30 years, many engineering design principles have been developed, and design of mixing equipment for a desired process objective has become possible. This handbook is a...
Creating Web Sites Bible
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Build your business or personal Web site in a 2.0 world

If you want to build your own Web site in a 2.0 world, you've come to right place. From facing HTML without fear to adding new ?air with multimedia, interactivity, and blogging, this comprehensive guide provides you with everything you need....

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A-Z guide to electrical/electronic and mechanical engineering design data. The ultimate sourcebook of electro-mechanical engineering design data is now better than ever, with thoroughly updated material, new discussions of engineering economics and elastomer springs. and a bounty of new drawings. Electro-Mechanical Design Handbook, Third...


Fractional Order Signal Processing: Introductory Concepts and Applications (SpringerBriefs in Applied Sciences and Technology)
Fractional Order Signal Processing: Introductory Concepts and Applications (SpringerBriefs in Applied Sciences and Technology)

Fractional order signal processing is an emerging topic among an interdisciplinary community of researchers. This book offers an introduction to the diverse literatures involved, presenting basic techniques and relevant applications in the same volume.

...
Geospatial Services and Applications for the Internet
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The use of geospatial technologies has become ubiquitous since the leading Internet vendors delivered a number of popular map websites. Today, businesses are either migrating location-specific capabilities into their information systems, or expanding existing Geospatial Information Systems (GIS) implementation into enterprise-wide solutions....
ASP.NET Web API 2: Building a REST Service from Start to Finish
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The ASP.NET MVC Framework has always been a good platform on which to implement REST-based services, but the introduction of the ASP.NET Web API Framework raised the bar to a whole new level.

Now in release version 2.1, the Web API Framework has evolved into a powerful and refreshingly usable platform. This concise book provides...

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